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Optical pattern recognition --- Optische patroonherkenning --- Reconnaissance optique des données --- Pattern recognition systems --- Image processing --- C++ (Computer program language) --- Reconnaissance des formes (informatique) --- Traitement d'images --- C plus-plus (langage de programmation) --- Seismic prospecting --- Data processing --- Digital techniques --- Traitement d'images.
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Given a familiar object extracted from its surroundings, we humans have little difficulty in recognizing it irrespective of its size, position and orientation in our field of view. Changes in lighting and the effects of perspective also pose no problems. How do we achieve this, and more importantly, how can we get a computer to do this? One very promising approach is to find mathematical functions of an object's image, or of an object's 3D description, that are invariant to the transformations caused by the object's motion. This book is devoted to the theory and practice of such invariant image features, so-called image invariants, for planar objects. It gives a comprehensive summary of the field, discussing methods for recognizing both occluded and partially occluded objects, and also contains a definitive treatmentof moment invariants and a tutorial introduction to algebraic invariants, which are fundamental to affine moment invariants and to many projective invariants. A number of novel invariant functions are presented and the results of numerous experiments investigating the stability of new and old invariants are discussed. The main conclusion is that moment invariants are very effective, both for partially occluded objects and for recognizing objects in grey-level images.
Computer vision --- Computervisie --- Optical pattern recognition --- Optische patroonherkenning --- Reconnaissance optique des données --- Vision par ordinateur --- Computer vision. --- Image processing --- Optical pattern recognition. --- Digital techniques. --- Digital techniques --- Computer graphics. --- Geometry. --- Computer Graphics. --- Image Processing and Computer Vision. --- Pattern Recognition. --- Mathematics --- Euclid's Elements --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Machine vision --- Vision, Computer --- Artificial intelligence --- Pattern recognition systems --- Automatic drafting --- Graphic data processing --- Graphics, Computer --- Computer art --- Graphic arts --- Electronic data processing --- Engineering graphics
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This book presents the theoretical aspects and practical development of a computer vision system for searching an image for a specified model object; this system is reliable, tolerates imperfections in the image and model, and is fast enough for real-world applications. A number of search techniques are evaluated. The capabilities of the author's image search system are demonstrated on a variety of examples, and applications using it to track moving objects and navigate mobile robots are shown. This book is essential reading for anybody interested in model-based object recognition.
Computer vision --- Computervisie --- Hausdorff [Mesures de ] --- Hausdorff [Metingen van ] --- Hausdorff measures --- Mesures de Hausdorff --- Metingen van Hausdorff --- Optical pattern recognition --- Optische patroonherkenning --- Reconnaissance optique des données --- Vision par ordinateur --- Optical pattern recognition. --- Artificial intelligence. --- Computer vision. --- Pattern Recognition. --- Artificial Intelligence. --- Image Processing and Computer Vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination
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